Glenn A. Fink - Richland WA, US Brandon J. Carpenter - Kennewick WA, US
International Classification:
G06F 15/173 G06F 15/177
US Classification:
709224, 715734
Abstract:
Methods, apparatus, systems, and articles of manufacture directed to the monitoring and visualizing of network traffic are disclosed. The network monitoring can include tracking data packets on a per process basis. As a data packet traverses a communications interface, it can be correlated with the process responsible for that data packet and a local process address can be logged providing a record of the packet and an associated source, destination, and process identifier. The visualizing can include generating a visual representation of network traffic and packet-process correlations.
Intelligent Sensor And Controller Framework For The Power Grid
Bora A. Akyol - Richland WA, US Jereme Nathan Haack - West Richland WA, US Cody William Tews - Richland WA, US Anand V. Kulkarni - Richland WA, US Brandon J. Carpenter - Kennewick WA, US Wendy M. Maiden - Pasco WA, US Selim Ciraci - Richland WA, US
International Classification:
H04L 9/00
US Classification:
713189
Abstract:
Disclosed below are representative embodiments of methods, apparatus, and systems for monitoring and using data in an electric power grid. For example, one disclosed embodiment comprises a sensor for measuring an electrical characteristic of a power line, electrical generator, or electrical device; a network interface; a processor; and one or more computer-readable storage media storing computer-executable instructions. In this embodiment, the computer-executable instructions include instructions for implementing an authorization and authentication module for validating a software agent received at the network interface; instructions for implementing one or more agent execution environments for executing agent code that is included with the software agent and that causes data from the sensor to be collected; and instructions for implementing an agent packaging and instantiation module for storing the collected data in a data container of the software agent and for transmitting the software agent, along with the stored data, to a next destination.
Coordinated Control Of Renewable Electric Generation Resource And Charge Storage Device
- El Dorado Hills CA, US Gautham Ramesh - San Francisco CA, US Bora Akyol - El Dorado Hills CA, US Brandon Carpenter - Burbank WA, US Rahul Mondal - Rancho Cordova CA, US
International Classification:
H02J 7/00 H02S 40/38 H01M 10/42 H02S 10/12
Abstract:
A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES−ESS facility to an electrical grid.
Coordinated Control Of Renewable Electric Generation Resource And Charge Storage Device
- Los Angeles CA, US Gautham Ramesh - San Francisco CA, US Bora Akyol - El Dorado Hills CA, US Brandon Carpenter - Burbank WA, US Rahul Mondal - Rancho Cordova CA, US
International Classification:
H02J 7/04 H02S 10/12 H02S 40/38 H01M 10/42
Abstract:
A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES-ESS facility to an electrical grid.
Intelligent Sensor And Controller Framework For The Power Grid
Bora A. Akyol - Richland WA, US Jereme Nathan Haack - West Richland WA, US Cody William Tews - Richland WA, US Anand V. Kulkarni - Richland WA, US Brandon J. Carpenter - Kennewick WA, US Wendy M. Maiden - Pasco WA, US Selim Ciraci - Richland WA, US
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
H04L 9/32 G06F 21/44 H04L 29/06 G01R 19/25
Abstract:
Disclosed below are representative embodiments of methods, apparatus, and systems for monitoring and using data in an electric power grid. For example, one disclosed embodiment comprises a sensor for measuring an electrical characteristic of a power line, electrical generator, or electrical device; a network interface; a processor; and one or more computer-readable storage media storing computer-executable instructions. In this embodiment, the computer-executable instructions include instructions for implementing an authorization and authentication module for validating a software agent received at the network interface; instructions for implementing one or more agent execution environments for executing agent code that is included with the software agent and that causes data from the sensor to be collected; and instructions for implementing an agent packaging and instantiation module for storing the collected data in a data container of the software agent and for transmitting the software agent, along with the stored data, to a next destination.
Intelligent Sensor And Controller Framework For The Power Grid
- Richland WA, US Jereme Nathan Haack - West Richland WA, US Cody William Tews - Richland WA, US Anand V. Kulkarni - Richland WA, US Brandon J. Carpenter - Kennewick WA, US Wendy M. Maiden - Pasco WA, US Selim Ciraci - Richland WA, US
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
H04L 9/32 G06F 21/44 H04L 29/06
Abstract:
Disclosed below are representative embodiments of methods, apparatus, and systems for monitoring and using data in an electric power grid. For example, one disclosed embodiment comprises a sensor for measuring an electrical characteristic of a power line, electrical generator, or electrical device; a network interface; a processor; and one or more computer-readable storage media storing computer-executable instructions. In this embodiment, the computer-executable instructions include instructions for implementing an authorization and authentication module for validating a software agent received at the network interface; instructions for implementing one or more agent execution environments for executing agent code that is included with the software agent and that causes data from the sensor to be collected; and instructions for implementing an agent packaging and instantiation module for storing the collected data in a data container of the software agent and for transmitting the software agent, along with the stored data, to a next destination.